CLUSTERDID: Stata module providing power analysis for cluster randomized trials, difference-in-differences sample size, and repeated cross-sections

Wael Moussa ()
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Wael Moussa: FHI 360

Statistical Software Components from Boston College Department of Economics

Abstract: clusterdid establishes a generalized, parallel-group difference-in-differences (DiD) cluster randomized trial framework observed over a longitudinal panel of T = T0 + T1 periods. It integrates the multi-way and nested error component models from Baltagi (2021) to capture permanent and time-varying cluster shocks. Unlike legacy power commands restricted to single post-treatment snapshots or purely standardized metrics, clusterdid natively accommodates multi-period repeated cross-sections, allowing researchers to evaluate how expanding baseline and endline tracking horizons mathematically reduces the variance multiplier.

Language: Stata
Requires: Stata version
Keywords: power analysis; DiD; randomized trial (search for similar items in EconPapers)
Date: 2026-05-24
Note: This module should be installed from within Stata by typing "ssc install clusterdid". The module is made available under terms of the MIT license (https://opensource.org/licenses/MIT).
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Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/c/clusterdid.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/c/clusterdid.sthlp help file (text/plain)

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Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s459723

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